CN105129555A - Method for recognizing suspicious elevator violence incident - Google Patents
Method for recognizing suspicious elevator violence incident Download PDFInfo
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- CN105129555A CN105129555A CN201510471326.7A CN201510471326A CN105129555A CN 105129555 A CN105129555 A CN 105129555A CN 201510471326 A CN201510471326 A CN 201510471326A CN 105129555 A CN105129555 A CN 105129555A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
- B66B1/3453—Procedure or protocol for the data transmission or communication
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention relates to a method for recognizing a suspicious elevator violence incident. The method includes the steps that firstly, a suspicious elevator violence incident recognition system is provided; and secondly, the recognition system is operated. The system comprises a main elevator structure, a CCD sensor, an incident recognition device and a single-chip microcomputer AT89C51. The CCD sensor, the incident recognition device and the single-chip microcomputer AT89C51 are all arranged on the main elevator structure. The CCD sensor is used for photographing an elevator car to obtain elevator car images. The incident recognition device is connected with the CCD sensor and used for extracting data of the elevator car images on the site. The single-chip microcomputer AT89C51 is connected with the incident recognition device and used for confirming whether the suspicious violence incident occurs in the car of the elevator or not based on the extracted on-site data. By the adoption of the method, the suspicious violence incident in the elevator can be automatically detected pertinently and corresponding alarming operation is performed in time.
Description
Technical field
The present invention relates to digital communicating field, particularly relate to a kind of method identifying the doubtful incident of violence of elevator.
Background technology
Because building is built after on certain altitude, the efficiency of people's upstream and downstream is very low, after the efficiency of creeping weighing elevator cost and people, must be undertaken upstairs and action downstairs by lift facility, the both legs of people have been liberated in the appearance of elevator, also further for the building in city is laid a good foundation to more high-rise development.
But, elevator its space that is in operation is hedged off from the outer world, close, improve to lawless person in narrow space the opportunity of violent crime at elevator, although there is the technical scheme that some are monitored elevator interior space video in prior art, but these technical schemes all need monitor staff's visual inspection monitor video, manually carry out the judgement of act of violence, and cannot accurately judge each Violent scene in prior art, thus different counter-measures cannot correspondingly be taked, such as, the scene of tangling in elevator cannot be judged.
Therefore, need the detection scheme of the concrete Violent scene of a kind of new lift space, not only Violent scene can be detected in time, exactly, and can judge that the type of Violent scene is the scene of tangling, be the information reference that associated monitoring department takes corresponding counter-measure to provide important.
Summary of the invention
In order to solve the problem, the invention provides the doubtful incident of violence recognition system of a kind of elevator, determine by comprising background gray threshold, the high-precision image processing mechanism of target identification, adopt the pattern identifying target after first accurately peeling off background, improve the accuracy that human body target detects, simultaneously, the analytical model of target solid can identify Violent scene concrete in elevator targetedly: tangle the scene of having a fist fight, in addition, in order to not hinder the normal descending operation of elevator, each identification equipment of the present invention organically combines with elevator agent structure.
According to an aspect of the present invention, provide a kind of method identifying the doubtful incident of violence of elevator, the method comprises: 1) provide a kind of elevator doubtful incident of violence recognition system, described system comprises elevator agent structure, ccd sensor, event recognition equipment and AT89C51 system, described ccd sensor, described event recognition equipment and described AT89C51 system are all arranged in described elevator agent structure, described ccd sensor is used for taking to obtain lift car image to lift car, described event recognition equipment is connected with described ccd sensor, extract for performing data on the spot to described lift car image, described AT89C51 system and described event recognition equipment connection, for determining, in the car of elevator, whether doubtful incident of violence occurs based on the data on the spot extracted, 2) described recognition system is run.
More specifically, in the doubtful incident of violence recognition system of described elevator, also comprise: user input device, for the operation according to user, receive the benchmark gray scale elevator image of user's input, preset gray threshold, preset interval detection time, preset shooting quantity, area change rate threshold value, distance threshold and standard trajectory template set, described benchmark gray scale elevator image is for taking obtained image to the car holding human body in advance, and described standard trajectory template set includes various well-regulated path of motion template, FLASH storage equipment, be connected with described user input device, for receive and store described benchmark gray scale elevator image, described default gray threshold, described default detection time interval, described default shooting quantity, described area change rate threshold value, described distance threshold and described standard trajectory template set, described elevator agent structure, by elevator car body equipment, machine room control convenience, hoistway control convenience and stop control convenience composition, described elevator car body equipment comprises hoistway sensor, door opener, emergency terminal switch, lead boots, panel block in sedan-chair, sedan-chair frame, gate, safety tongs, trailing cable and car, described hoistway sensor, described door opener, described emergency terminal switch and describedly lead the top that boots are all arranged on described car, in described sedan-chair, panel block is arranged on the inside of described car, described sedan-chair frame is arranged on the exterior circumferential of described car, for fixing described car, described safety tongs is arranged on the bottom of described car, described trailing cable is arranged on the outside of described car, and described machine room control convenience comprises retarder, drag running wheel, track adjusting wheel, velocity limiter, drg, drag and draw machine, source switch and elevator power supply source, described hoistway control convenience comprises rail brackets, drag and draw steel rope, switch touches iron, guide rail, counterweight, compensated chain, compensated chain guide wheel, tightening device, fag end combination and energy disperser, described counterweight is fixed on the below of described car by described fag end combination, described compensated chain, described compensated chain guide wheel and described tightening device are successively set on the below of described counterweight in accordance with the order from top to bottom, and described stop control convenience is arranged on every first floor layer, comprises call box, floor indicator lamp and layer door, described ccd sensor is arranged in described car, is connected with described FLASH storage equipment, to automatically snap the multiframe lift car image presetting shooting quantity successively based on interval described default detection time, described event recognition equipment is connected with described ccd sensor and described FLASH storage equipment, to receive described multiframe lift car image respectively, described event recognition equipment comprises self adaptation recursive filtering unit, gray processing processing unit, background gray threshold determining unit, background separation unit, object-recognition unit and data extracting unit, described background gray threshold determining unit is connected with described FLASH storage equipment, from 0-255, select gray value as preliminary election gray value successively, each grey scale pixel value and described preliminary election gray value in described benchmark gray scale elevator image are subtracted each other the gray scale difference value obtaining each pixel, by the summed square of the gray scale difference value of each pixel, value after addition is divided by sum of all pixels in described benchmark gray scale elevator image to obtain Threshold selection assessment data, and peek is worth the minimum preliminary election gray value gray threshold as a setting corresponding to Threshold selection assessment data, described self adaptation recursive filtering unit, described gray processing processing unit, described background separation unit, described object-recognition unit and described data extracting unit are combined for performing data extraction process on the spot to each frame lift car image: described self adaptation recursive filtering unit is connected with described ccd sensor, for performing the process of self adaptation recursive filtering to each frame lift car image, to obtain each corresponding frame filtering image, described gray processing processing unit is connected with described self adaptation recursive filtering unit, for performing gray processing process to each frame filtering image, to obtain each corresponding frame gray processing car image, described background separation unit is connected respectively with described gray processing processing unit and described background gray threshold determining unit, takes absolute value to obtain each frame and remove background gray level image after the gray value of each pixel in each frame gray processing car image is deducted described background gray threshold, described object-recognition unit is connected respectively with described background separation unit and described FLASH storage equipment, removes each frame to have in background gray level image all pixels that gray value is more than or equal to described default gray threshold and forms multiple target gray subimage, described data extracting unit is connected with described object-recognition unit, calculates the position of form center of relative distance between the area of each target, every two targets and each target based on described multiple target gray subimage, described AT89C51 system is connected respectively with described data extracting unit and described FLASH storage equipment, the area of each target corresponding based on each frame lift car image and the position of form center of each target calculate the real-time area change rate aviation value of each target and the real time kinematics track of each target, and be all greater than described area change rate threshold value at the real-time area change rate aviation value of all targets, relative distance between all every two targets be all less than described distance threshold and the real time kinematics track of all targets does not mate any one well-regulated path of motion template of described standard trajectory template set time, send and there is doubtful incident of violence signal, otherwise, send and there is not doubtful incident of violence signal, wireless transmitting-receiving equipments, be connected respectively with described AT89C51 system and described event recognition equipment, comprise image coding unit, for when receiving described doubtful incident of violence signal, control described image coding unit and image compression encoding is carried out to obtain multiframe compressed image to described multiframe lift car image, and by described multiframe compressed image with describedly there is doubtful incident of violence signal and be sent to the internal network of elevator responsible department or the mobile terminal of elevator responsible official by cordless communication network, two-way speaker, is connected with described AT89C51 system, for receive described there is doubtful incident of violence signal time, play there is audio alert file corresponding to doubtful incident of violence signal with described, wherein, described AT89C51 system is based on the real-time area change rate aviation value of each target of areal calculation of each target corresponding to each frame lift car image, be specially, for each target, calculate the area change rate of this target of two frame lift car images of adjacent shooting time according to the shooting time tandem of lift car image, and the real-time area change rate aviation value obtaining this target is averaged to the multiple area change rates calculated, described self adaptation recursive filtering unit, described gray processing processing unit, described background gray threshold determining unit, described background separation unit, described object-recognition unit and described data extracting unit are realized by different fpga chips respectively, and are integrated on one piece of surface-mounted integrated circuit, elevator power supply source in described machine room control convenience comprises solar powered device, uninterrupted power supply (UPS) device, civil power access device, change-over switch and switch controller, described change-over switch and described solar powered device, described uninterrupted power supply (UPS) device is connected respectively with described civil power access device, described switch controller is connected with described change-over switch, when described switch controller detects civil power regular supply, described change-over switch is switched to described civil power access device to provide power supply by civil power, when described switch controller detects that commercial power supply interrupts, described change-over switch is switched to described uninterrupted power supply (UPS) device to provide power supply by described uninterrupted power supply (UPS) device, described switch controller is also during described uninterrupted power supply (UPS) device provides power supply, determine that whether controlling described change-over switch is switched to described solar powered device to be powered by described solar powered device according to the dump energy of described uninterrupted power supply (UPS) device.
More specifically, in described elevator doubtful incident of violence recognition system: described image coding unit carries out image compression encoding based on MPEG-4 compression standard to described multiframe lift car image.
More specifically, in described elevator doubtful incident of violence recognition system: described default gray threshold value is between 0-10, and described default detection time, interval value was between 1-5 second, and described default shooting quantity value is between 5-10.
More specifically, in described elevator doubtful incident of violence recognition system: described wireless transmitting-receiving equipments is arranged on the outside top of described car, and described two-way speaker is arranged on the inside of described car.
More specifically, in described elevator doubtful incident of violence recognition system: described wireless transmitting-receiving equipments also comprises GPRS communication interface, 3G communication interface or 4G communication interface.
More specifically, in described elevator doubtful incident of violence recognition system: described AT89C51 system, described event recognition equipment, described user input device and described FLASH storage equipment are all arranged on the inside of described car.
More specifically, in described elevator doubtful incident of violence recognition system: described machine room control convenience is arranged on the tip position of described elevator place building.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the doubtful incident of violence recognition system of elevator illustrated according to an embodiment of the present invention.
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the doubtful incident of violence recognition system of elevator of the present invention is described in detail.
Current, elevator interior monitor mode is concrete not, valuable reference data cannot be provided for supervision department, such as, lack the detection scheme tangling scene in elevator, if fierce fight scene in concrete elevator can be detected, supervision department just can make and report to the police immediately, gets rid of reasonable Security Personnel and rush towards scene and carry the reaction targetedly of suitable anti-riot instrument, thus safeguards the safe order of elevator place building effectively.
Wherein, the feature of tangling scene in elevator is: the spacing of each human body target is very little, and huge fluctuation appears in people's bulk area, and the path of motion of human body target becomes to be had no rule and can say.
In order to overcome above-mentioned deficiency, the present invention has built the doubtful incident of violence recognition system of a kind of elevator, multiple high precision image check implement and elevator main body is organically combined, realize to expection concrete scene effective, detect in real time.
Fig. 1 is the block diagram of the doubtful incident of violence recognition system of elevator illustrated according to an embodiment of the present invention, described system comprises elevator agent structure 1, ccd sensor 2, event recognition equipment 3 and AT89C51 system 4, described ccd sensor 2, described event recognition equipment 3 and described AT89C51 system 4 are all arranged in described elevator agent structure 1, described ccd sensor 2 obtains lift car image for taking lift car, described event recognition equipment 3 is connected with described ccd sensor 2, extract for performing data on the spot to described lift car image, described AT89C51 system 4 is connected with described event recognition equipment 3, for determining, in the car of elevator, whether doubtful incident of violence occurs based on the data on the spot extracted.
Then, continue to be further detailed the concrete structure of the doubtful incident of violence recognition system of elevator of the present invention.
Described system also comprises: user input device, for the operation according to user, receive the benchmark gray scale elevator image of user's input, preset gray threshold, preset interval detection time, preset shooting quantity, area change rate threshold value, distance threshold and standard trajectory template set, described benchmark gray scale elevator image is for taking obtained image to the car holding human body in advance, and described standard trajectory template set includes various well-regulated path of motion template.
Described system also comprises: FLASH storage equipment, be connected with described user input device, for receive and store described benchmark gray scale elevator image, described default gray threshold, described default detection time interval, described default shooting quantity, described area change rate threshold value, described distance threshold and described standard trajectory template set.
Described elevator agent structure 1 is by elevator car body equipment, machine room control convenience, hoistway control convenience and stop control convenience composition, described elevator car body equipment comprises hoistway sensor, door opener, emergency terminal switch, lead boots, panel block in sedan-chair, sedan-chair frame, gate, safety tongs, trailing cable and car, described hoistway sensor, described door opener, described emergency terminal switch and describedly lead the top that boots are all arranged on described car, in described sedan-chair, panel block is arranged on the inside of described car, described sedan-chair frame is arranged on the exterior circumferential of described car, for fixing described car, described safety tongs is arranged on the bottom of described car, described trailing cable is arranged on the outside of described car, and described machine room control convenience comprises retarder, drag running wheel, track adjusting wheel, velocity limiter, drg, drag and draw machine, source switch and elevator power supply source, described hoistway control convenience comprises rail brackets, drag and draw steel rope, switch touches iron, guide rail, counterweight, compensated chain, compensated chain guide wheel, tightening device, fag end combination and energy disperser, described counterweight is fixed on the below of described car by described fag end combination, described compensated chain, described compensated chain guide wheel and described tightening device are successively set on the below of described counterweight in accordance with the order from top to bottom, and described stop control convenience is arranged on every first floor layer, comprises call box, floor indicator lamp and layer door.
Described ccd sensor 2 is arranged in described car, is connected with described FLASH storage equipment, to automatically snap the multiframe lift car image presetting shooting quantity successively based on interval described default detection time.
Described event recognition equipment 3 is connected with described ccd sensor 2 and described FLASH storage equipment, to receive described multiframe lift car image respectively, described event recognition equipment 3 comprises self adaptation recursive filtering unit, gray processing processing unit, background gray threshold determining unit, background separation unit, object-recognition unit and data extracting unit;
Described background gray threshold determining unit is connected with described FLASH storage equipment, from 0-255, select gray value as preliminary election gray value successively, each grey scale pixel value and described preliminary election gray value in described benchmark gray scale elevator image are subtracted each other the gray scale difference value obtaining each pixel, by the summed square of the gray scale difference value of each pixel, value after addition is divided by sum of all pixels in described benchmark gray scale elevator image to obtain Threshold selection assessment data, and peek is worth the minimum preliminary election gray value gray threshold as a setting corresponding to Threshold selection assessment data; Described self adaptation recursive filtering unit, described gray processing processing unit, described background separation unit, described object-recognition unit and described data extracting unit are combined for performing data extraction process on the spot to each frame lift car image: described self adaptation recursive filtering unit is connected with described ccd sensor, for performing the process of self adaptation recursive filtering to each frame lift car image, to obtain each corresponding frame filtering image; Described gray processing processing unit is connected with described self adaptation recursive filtering unit, for performing gray processing process to each frame filtering image, to obtain each corresponding frame gray processing car image; Described background separation unit is connected respectively with described gray processing processing unit and described background gray threshold determining unit, takes absolute value to obtain each frame and remove background gray level image after the gray value of each pixel in each frame gray processing car image is deducted described background gray threshold; Described object-recognition unit is connected respectively with described background separation unit and described FLASH storage equipment, removes each frame to have in background gray level image all pixels that gray value is more than or equal to described default gray threshold and forms multiple target gray subimage; Described data extracting unit is connected with described object-recognition unit, calculates the position of form center of relative distance between the area of each target, every two targets and each target based on described multiple target gray subimage.
Described AT89C51 system 4 is connected respectively with described data extracting unit and described FLASH storage equipment, the area of each target corresponding based on each frame lift car image and the position of form center of each target calculate the real-time area change rate aviation value of each target and the real time kinematics track of each target, and be all greater than described area change rate threshold value at the real-time area change rate aviation value of all targets, relative distance between all every two targets be all less than described distance threshold and the real time kinematics track of all targets does not mate any one well-regulated path of motion template of described standard trajectory template set time, send and there is doubtful incident of violence signal, otherwise, send and there is not doubtful incident of violence signal.
Described system also comprises: wireless transmitting-receiving equipments, be connected respectively with described AT89C51 system 4 and described event recognition equipment, comprise image coding unit, for when receiving described doubtful incident of violence signal, control described image coding unit and image compression encoding is carried out to obtain multiframe compressed image to described multiframe lift car image, and by described multiframe compressed image with describedly there is doubtful incident of violence signal and be sent to the internal network of elevator responsible department or the mobile terminal of elevator responsible official by cordless communication network.
Described system also comprises: two-way speaker, is connected with described AT89C51 system 4, for receive described there is doubtful incident of violence signal time, play there is audio alert file corresponding to doubtful incident of violence signal with described.
Wherein, described AT89C51 system 4 is based on the real-time area change rate aviation value of each target of areal calculation of each target corresponding to each frame lift car image, be specially, for each target, calculate the area change rate of this target of two frame lift car images of adjacent shooting time according to the shooting time tandem of lift car image, and the real-time area change rate aviation value obtaining this target is averaged to the multiple area change rates calculated, described self adaptation recursive filtering unit, described gray processing processing unit, described background gray threshold determining unit, described background separation unit, described object-recognition unit and described data extracting unit are realized by different fpga chips respectively, and are integrated on one piece of surface-mounted integrated circuit, elevator power supply source in described machine room control convenience comprises solar powered device, uninterrupted power supply (UPS) device, civil power access device, change-over switch and switch controller, described change-over switch and described solar powered device, described uninterrupted power supply (UPS) device is connected respectively with described civil power access device, described switch controller is connected with described change-over switch, when described switch controller detects civil power regular supply, described change-over switch is switched to described civil power access device to provide power supply by civil power, when described switch controller detects that commercial power supply interrupts, described change-over switch is switched to described uninterrupted power supply (UPS) device to provide power supply by described uninterrupted power supply (UPS) device, described switch controller is also during described uninterrupted power supply (UPS) device provides power supply, determine that whether controlling described change-over switch is switched to described solar powered device to be powered by described solar powered device according to the dump energy of described uninterrupted power supply (UPS) device.
Alternatively, in the system: described image coding unit carries out image compression encoding based on MPEG-4 compression standard to described multiframe lift car image; Described default gray threshold value is between 0-10, and described default detection time, interval value was between 1-5 second, and described default shooting quantity value is between 5-10; Described wireless transmitting-receiving equipments is arranged on the outside top of described car, and described two-way speaker is arranged on the inside of described car; Described wireless transmitting-receiving equipments also comprises GPRS communication interface, 3G communication interface or 4G communication interface; Described AT89C51 system 4, described event recognition equipment, described user input device and described FLASH storage equipment are all arranged on the inside of described car; And, described machine room control convenience can be arranged on the tip position of described elevator place building.
In addition, FPGA, i.e. field-programmable gate array, it is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD, occur as a kind of semi-custom circuit in application-specific integrated circuit ASIC field, he solves the deficiency in custom circuit, also overcomes a limited number of shortcoming of original programming device gate circuit.
FPGA adopts the such concept of logical cell array LCA, and inside comprises configurable logic blocks CLB, input/output module IOB and interconnector three parts.Field-programmable gate array FPGA is programming device, and compare with gate array (programming device such as such as PAL, GAL, CPLD) with conventional logic circuit, FPGA has different structure.FPGA utilizes small-sized look-up table (16 × 1RAM) to realize combinatory logic, each look-up table is connected to the input end of a d type flip flop, binary pair drives other decisions circuit again or drives I/O, thus constitute the basic logic unit module that not only can realize combination logic function but also can realize sequential logic function, these modules utilize metal connecting line to be connected to each other or are connected to I/O module.
The key distinction of FPGA and CPLD is: CPLD is a somewhat restrictive structure, and this structure is arranged by the logical groups of one or more editable result sum and forms with the register of the locking of some relatively small amounts, and it lacks editor's alerting ability; And FPGA has a lot of linkage units, him is allowed to edit more neatly like this.
Adopt the doubtful incident of violence recognition system of elevator of the present invention, the problem to the checkout system tangling this hazardous act of scene in elevator is lacked for prior art, adopt the multiple high-precision image processing equipment organically combined with elevator agent structure to complete effective identification to tangling scene in elevator, the concrete recognition mechanism of high-precision image processing equipment is first determine background threshold, peel off background, determine human body target, finally determine concrete Violent scene according to human body target geometric configuration.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (8)
1. identify a method for the doubtful incident of violence of elevator, the method comprises:
1) provide a kind of elevator doubtful incident of violence recognition system, described system comprises elevator agent structure, ccd sensor, event recognition equipment and AT89C51 system, described ccd sensor, described event recognition equipment and described AT89C51 system are all arranged in described elevator agent structure, described ccd sensor is used for taking to obtain lift car image to lift car, described event recognition equipment is connected with described ccd sensor, extract for performing data on the spot to described lift car image, described AT89C51 system and described event recognition equipment connection, for determining, in the car of elevator, whether doubtful incident of violence occurs based on the data on the spot extracted,
2) described recognition system is run.
2. the method for claim 1, is characterized in that, described system also comprises:
User input device, for the operation according to user, receive the benchmark gray scale elevator image of user's input, preset gray threshold, preset interval detection time, preset shooting quantity, area change rate threshold value, distance threshold and standard trajectory template set, described benchmark gray scale elevator image is for taking obtained image to the car holding human body in advance, and described standard trajectory template set includes various well-regulated path of motion template;
FLASH storage equipment, be connected with described user input device, for receive and store described benchmark gray scale elevator image, described default gray threshold, described default detection time interval, described default shooting quantity, described area change rate threshold value, described distance threshold and described standard trajectory template set;
Described elevator agent structure, by elevator car body equipment, machine room control convenience, hoistway control convenience and stop control convenience composition, described elevator car body equipment comprises hoistway sensor, door opener, emergency terminal switch, lead boots, panel block in sedan-chair, sedan-chair frame, gate, safety tongs, trailing cable and car, described hoistway sensor, described door opener, described emergency terminal switch and describedly lead the top that boots are all arranged on described car, in described sedan-chair, panel block is arranged on the inside of described car, described sedan-chair frame is arranged on the exterior circumferential of described car, for fixing described car, described safety tongs is arranged on the bottom of described car, described trailing cable is arranged on the outside of described car, and described machine room control convenience comprises retarder, drag running wheel, track adjusting wheel, velocity limiter, drg, drag and draw machine, source switch and elevator power supply source, described hoistway control convenience comprises rail brackets, drag and draw steel rope, switch touches iron, guide rail, counterweight, compensated chain, compensated chain guide wheel, tightening device, fag end combination and energy disperser, described counterweight is fixed on the below of described car by described fag end combination, described compensated chain, described compensated chain guide wheel and described tightening device are successively set on the below of described counterweight in accordance with the order from top to bottom, and described stop control convenience is arranged on every first floor layer, comprises call box, floor indicator lamp and layer door,
Described ccd sensor is arranged in described car, is connected with described FLASH storage equipment, to automatically snap the multiframe lift car image presetting shooting quantity successively based on interval described default detection time;
Described event recognition equipment is connected with described ccd sensor and described FLASH storage equipment, to receive described multiframe lift car image respectively, described event recognition equipment comprises self adaptation recursive filtering unit, gray processing processing unit, background gray threshold determining unit, background separation unit, object-recognition unit and data extracting unit; Described background gray threshold determining unit is connected with described FLASH storage equipment, from 0-255, select gray value as preliminary election gray value successively, each grey scale pixel value and described preliminary election gray value in described benchmark gray scale elevator image are subtracted each other the gray scale difference value obtaining each pixel, by the summed square of the gray scale difference value of each pixel, value after addition is divided by sum of all pixels in described benchmark gray scale elevator image to obtain Threshold selection assessment data, and peek is worth the minimum preliminary election gray value gray threshold as a setting corresponding to Threshold selection assessment data; Described self adaptation recursive filtering unit, described gray processing processing unit, described background separation unit, described object-recognition unit and described data extracting unit are combined for performing data extraction process on the spot to each frame lift car image: described self adaptation recursive filtering unit is connected with described ccd sensor, for performing the process of self adaptation recursive filtering to each frame lift car image, to obtain each corresponding frame filtering image; Described gray processing processing unit is connected with described self adaptation recursive filtering unit, for performing gray processing process to each frame filtering image, to obtain each corresponding frame gray processing car image; Described background separation unit is connected respectively with described gray processing processing unit and described background gray threshold determining unit, takes absolute value to obtain each frame and remove background gray level image after the gray value of each pixel in each frame gray processing car image is deducted described background gray threshold; Described object-recognition unit is connected respectively with described background separation unit and described FLASH storage equipment, removes each frame to have in background gray level image all pixels that gray value is more than or equal to described default gray threshold and forms multiple target gray subimage; Described data extracting unit is connected with described object-recognition unit, calculates the position of form center of relative distance between the area of each target, every two targets and each target based on described multiple target gray subimage;
Described AT89C51 system is connected respectively with described data extracting unit and described FLASH storage equipment, the area of each target corresponding based on each frame lift car image and the position of form center of each target calculate the real-time area change rate aviation value of each target and the real time kinematics track of each target, and be all greater than described area change rate threshold value at the real-time area change rate aviation value of all targets, relative distance between all every two targets be all less than described distance threshold and the real time kinematics track of all targets does not mate any one well-regulated path of motion template of described standard trajectory template set time, send and there is doubtful incident of violence signal, otherwise, send and there is not doubtful incident of violence signal,
Wireless transmitting-receiving equipments, be connected respectively with described AT89C51 system and described event recognition equipment, comprise image coding unit, for when receiving described doubtful incident of violence signal, control described image coding unit and image compression encoding is carried out to obtain multiframe compressed image to described multiframe lift car image, and by described multiframe compressed image with describedly there is doubtful incident of violence signal and be sent to the internal network of elevator responsible department or the mobile terminal of elevator responsible official by cordless communication network;
Two-way speaker, is connected with described AT89C51 system, for receive described there is doubtful incident of violence signal time, play there is audio alert file corresponding to doubtful incident of violence signal with described;
Wherein, described AT89C51 system is based on the real-time area change rate aviation value of each target of areal calculation of each target corresponding to each frame lift car image, be specially, for each target, calculate the area change rate of this target of two frame lift car images of adjacent shooting time according to the shooting time tandem of lift car image, and the real-time area change rate aviation value obtaining this target is averaged to the multiple area change rates calculated;
Wherein, described self adaptation recursive filtering unit, described gray processing processing unit, described background gray threshold determining unit, described background separation unit, described object-recognition unit and described data extracting unit are realized by different fpga chips respectively, and are integrated on one piece of surface-mounted integrated circuit;
Wherein, elevator power supply source in described machine room control convenience comprises solar powered device, uninterrupted power supply (UPS) device, civil power access device, change-over switch and switch controller, described change-over switch and described solar powered device, described uninterrupted power supply (UPS) device is connected respectively with described civil power access device, described switch controller is connected with described change-over switch, when described switch controller detects civil power regular supply, described change-over switch is switched to described civil power access device to provide power supply by civil power, when described switch controller detects that commercial power supply interrupts, described change-over switch is switched to described uninterrupted power supply (UPS) device to provide power supply by described uninterrupted power supply (UPS) device, described switch controller is also during described uninterrupted power supply (UPS) device provides power supply, determine that whether controlling described change-over switch is switched to described solar powered device to be powered by described solar powered device according to the dump energy of described uninterrupted power supply (UPS) device.
3. method as claimed in claim 2, is characterized in that: described image coding unit carries out image compression encoding based on MPEG-4 compression standard to described multiframe lift car image.
4. method as claimed in claim 2, is characterized in that: described default gray threshold value is between 0-10, and described default detection time, interval value was between 1-5 second, and described default shooting quantity value is between 5-10.
5. method as claimed in claim 2, it is characterized in that: described wireless transmitting-receiving equipments is arranged on the outside top of described car, described two-way speaker is arranged on the inside of described car.
6. method as claimed in claim 2, is characterized in that: described wireless transmitting-receiving equipments also comprises GPRS communication interface, 3G communication interface or 4G communication interface.
7. method as claimed in claim 2, is characterized in that: described AT89C51 system, described event recognition equipment, described user input device and described FLASH storage equipment are all arranged on the inside of described car.
8. method as claimed in claim 2, is characterized in that: described machine room control convenience is arranged on the tip position of described elevator place building.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610617897.1A CN106185512A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
| CN201610608721.XA CN106241526A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
| CN201610614328.1A CN105967012A (en) | 2015-08-04 | 2015-08-04 | Method for recognizing suspected violent accident in elevator |
| CN201510471326.7A CN105129555A (en) | 2015-08-04 | 2015-08-04 | Method for recognizing suspicious elevator violence incident |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510471326.7A CN105129555A (en) | 2015-08-04 | 2015-08-04 | Method for recognizing suspicious elevator violence incident |
Related Child Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610608721.XA Division CN106241526A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
| CN201610617897.1A Division CN106185512A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
| CN201610614328.1A Division CN105967012A (en) | 2015-08-04 | 2015-08-04 | Method for recognizing suspected violent accident in elevator |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105129555A true CN105129555A (en) | 2015-12-09 |
Family
ID=54715220
Family Applications (4)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610617897.1A Withdrawn CN106185512A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
| CN201610614328.1A Withdrawn CN105967012A (en) | 2015-08-04 | 2015-08-04 | Method for recognizing suspected violent accident in elevator |
| CN201610608721.XA Withdrawn CN106241526A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
| CN201510471326.7A Pending CN105129555A (en) | 2015-08-04 | 2015-08-04 | Method for recognizing suspicious elevator violence incident |
Family Applications Before (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610617897.1A Withdrawn CN106185512A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
| CN201610614328.1A Withdrawn CN105967012A (en) | 2015-08-04 | 2015-08-04 | Method for recognizing suspected violent accident in elevator |
| CN201610608721.XA Withdrawn CN106241526A (en) | 2015-08-04 | 2015-08-04 | A kind of method identifying the doubtful incident of violence of elevator |
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| Country | Link |
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| CN (4) | CN106185512A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520237A (en) * | 2018-04-10 | 2018-09-11 | 武汉斑马快跑科技有限公司 | A kind of risk behavior recognition methods |
| CN109740559A (en) * | 2019-01-10 | 2019-05-10 | 珠海格力电器股份有限公司 | Personal identification method, apparatus and system |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111559682B (en) * | 2020-05-27 | 2021-06-04 | 江苏省特种设备安全监督检验研究院 | Remote rescue system and method for elevator trapped people under specific conditions and elevator |
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| CN1919711A (en) * | 2006-09-20 | 2007-02-28 | 浙江工业大学 | Elevator inner violence-proof apparatus based on image and speech recognition technique |
| CN1968883A (en) * | 2005-04-27 | 2007-05-23 | 三菱电机株式会社 | Crime prevention device for elevator |
| CN101188746A (en) * | 2006-11-20 | 2008-05-28 | 株式会社日立建筑系统 | Misdeed-proof camera image displaying system for elevator |
| CN102762479A (en) * | 2010-02-23 | 2012-10-31 | 三菱电机株式会社 | Elevator device |
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2015
- 2015-08-04 CN CN201610617897.1A patent/CN106185512A/en not_active Withdrawn
- 2015-08-04 CN CN201610614328.1A patent/CN105967012A/en not_active Withdrawn
- 2015-08-04 CN CN201610608721.XA patent/CN106241526A/en not_active Withdrawn
- 2015-08-04 CN CN201510471326.7A patent/CN105129555A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1968883A (en) * | 2005-04-27 | 2007-05-23 | 三菱电机株式会社 | Crime prevention device for elevator |
| CN1919711A (en) * | 2006-09-20 | 2007-02-28 | 浙江工业大学 | Elevator inner violence-proof apparatus based on image and speech recognition technique |
| CN101188746A (en) * | 2006-11-20 | 2008-05-28 | 株式会社日立建筑系统 | Misdeed-proof camera image displaying system for elevator |
| CN102762479A (en) * | 2010-02-23 | 2012-10-31 | 三菱电机株式会社 | Elevator device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108520237A (en) * | 2018-04-10 | 2018-09-11 | 武汉斑马快跑科技有限公司 | A kind of risk behavior recognition methods |
| CN109740559A (en) * | 2019-01-10 | 2019-05-10 | 珠海格力电器股份有限公司 | Personal identification method, apparatus and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106185512A (en) | 2016-12-07 |
| CN106241526A (en) | 2016-12-21 |
| CN105967012A (en) | 2016-09-28 |
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